Lucilla Luzi
Impact in
- Aging top 2%
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
- Hematology 13
- Acute Myeloid Leukemia Research 13
-
- Genomics and Chromatin Dynamics 10
- Epigenetics and DNA Methylation 6
- Protein Degradation and Inhibitors 5
- Retinoids in leukemia and cellular processes 4
- Single-cell and spatial transcriptomics 4
- Co-authors
- Pier Giuseppe Pelicci (35 shared papers)Saverio Minucci (3 shared papers)Anna Fantozzi (3 shared papers)Daniela Riganelli (4 shared papers)Andrea Ballabio (2 shared papers)Germana Meroni (2 shared papers)Alexandre Reymond (2 shared papers)Silvia Messali (2 shared papers)
- Journals
- Blood (5 papers)Cancer Research (4 papers)Bioinformatics (2 papers)Journal of Clinical Investigation (2 papers)PLoS Genetics (2 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Lucilla Luzi
45 papers receiving 4.6k citations
Lucilla Luzi's Hit Papers
Peers
Comparison fields: 5 of 112
- Aging 138
- Hematology 664
- Virology 255
- Immunology 987
- Molecular Biology 3.1k
Countries citing papers authored by Lucilla Luzi
This map shows the geographic impact of Lucilla Luzi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lucilla Luzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucilla Luzi more than expected).
Fields of papers citing papers by Lucilla Luzi
This network shows the impact of papers produced by Lucilla Luzi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lucilla Luzi. The network helps show where Lucilla Luzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucilla Luzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The tripartite motif family identifies cell compartments Hit paper breakdown → | 2001 | 1146 |
| 2 | Electron Transfer between Cytochrome c and p66Shc Generates Reactive Oxygen Species that Trigger Mitochondrial Apoptosis Hit paper breakdown → | 2005 | 1025 |
| 3 | 2005 | 297 | |
| 4 | 2006 | 293 | |
| 5 | 2006 | 252 | |
| 6 | 2003 | 213 | |
| 7 | 2000 | 186 | |
| 8 | 2002 | 150 | |
| 9 | 2013 | 134 | |
| 10 | 2006 | 126 | |
| 11 | 2009 | 79 | |
| 12 | 2019 | 78 | |
| 13 | 2008 | 64 | |
| 14 | 2006 | 63 | |
| 15 | 2007 | 61 | |
| 16 | 2016 | 59 | |
| 17 | 2019 | 58 | |
| 18 | 2019 | 51 | |
| 19 | 2020 | 48 | |
| 20 | 2012 | 36 |
About Lucilla Luzi
Lucilla Luzi is a scholar working on Hematology, Molecular Biology, Cancer Research, Aging and Oncology, having authored 47 papers that have together received 4.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Genomics and Chromatin Dynamics (10 papers), Epigenetics and DNA Methylation (6 papers), Protein Degradation and Inhibitors (5 papers), Cancer Genomics and Diagnostics (4 papers), Retinoids in leukemia and cellular processes (4 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Aging (138 citations), Hematology (664 citations), Virology (255 citations), Immunology (987 citations) and Molecular Biology (3.1k citations). Lucilla Luzi has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Pier Giuseppe Pelicci, Saverio Minucci, Anna Fantozzi, Daniela Riganelli, Andrea Ballabio, Germana Meroni, Alexandre Reymond, Silvia Messali, Alessandro Guffanti and Stefano Cairo. Their work appears in journals such as Blood, Cancer Research, Bioinformatics, Journal of Clinical Investigation and PLoS Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.